Saisai Tian, Yixue Liang, Jinbo Zhang, Weishan Liang, Jinyuan Lu, Jiajia Ren, Bojian Lin, Ruijun Wu, Chengyang Guo, Weidong Zhang
Gene essentiality (synonymous with dependency) mapping reveals therapeutic vulnerabilities for intractable oncogenes, yet integrated platforms bridging CRISPR functional genomics with drug discovery remain limited. To address this gap, we developed GEMap, A Gene Essentiality-Guided Platform for Drug Discovery combining genome-wide CRISPR-Cas9 essentiality profiles (1912 screens across 1135 cancer cell lines) with multi-omics annotations, drug profiles and drug targets info (20,000+ compounds). GEMap can be used to (1) explore multimodal gene data (Dependency/Expression/CNV/Mutation) across cell lines and tissues; (2) prioritizes context-specific therapeutic targets by quantifying differential genetic dependencies in molecularly stratified cancers, such as KRAS mutation-cancers; and (3) discover tailored treatments and drug candidates targeting particular genes using large-scale drug perturbation data and drug physical targets. To the best of our knowledge, GEMap represents the first platform bridging CRISPR-derived genetic dependencies with pharmacological responses and biological networks and establishes an open-access paradigm for accelerating precision oncology against undruggable targets. GEMap is available at https://web.biotcm.net/GEMap/ .